Senior Software Engineer, AI/ML, Google Research

Responsibilities

• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
• Design, build, and productionize sophisticated machine learning models to understand user intent and advertiser objectives. Your work will form the core intelligence of our next-generation, AI-driven ad systems.
• Collaborate closely with Research Scientists and Product teams to translate novel concepts in LLMs, RL, and agentic systems from initial prototypes into scalable, production-ready solutions.
• Take ownership of the end-to-end ML lifecycle to develop and launch new advertising products. Translate into features with significant business impact and shape the future of Google's monetization.
• Contribute to the scientific community with opportunities to co-author publications for academic conferences (e.g., NeurIPS, ICML), showcasing your innovative work and its impact.
• - Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field. Design, build, and productionize sophisticated machine learning models to understand user intent and advertiser objectives. Your work will form the core intelligence of our next-generation, AI-driven ad systems. - Collaborate closely with Research Scientists and Product teams to translate novel concepts in LLMs, RL, and agentic systems from initial prototypes into scalable, production-ready solutions. - Take ownership of the end-to-end ML lifecycle to develop and launch new advertising products. Translate into features with significant business impact and shape the future of Google's monetization. - Contribute to the scientific community with opportunities to co-author publications for academic conferences (e.g., NeurIPS, ICML), showcasing your innovative work and its impact.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 5 years of experience with software development in one or more programming languages. - 2 years of experience in large language model (LLM) modeling, including pre-training or fine-tuning. - 2 years of experience with Generative AI technologies, and launching features. Preferred qualifications: - PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. - 5 years of experience with data structures and algorithms. - Experience driving end-to-end production launches for machine learning features in high-traffic, latency-critical systems. - Experience with Reinforcement Learning (RL) or agentic systems. - Demonstrated publication record at academic conferences (e.g., NeurIPS, ICML, ICLR).